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Paper Citation Record · LEDGER

OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using Blender

As of 12 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 1 inbound Pith citation observation for arXiv:2505.20126.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.20126 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:04:39.330354Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-20T19:26:32.448656Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-20T19:28:54.997603Z

Reference resolution

47 of 47 outbound references displayed

  • verified exact2
  • verified fuzzy40
  • unresolved4
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 02bbd480-1b72-4968-a0c2-f38ce8c8d6f4 · outbound

This paper cites A survey of representation lea rning, optimization strategies, and applications for omnidirectional vision,.

OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using Blender A survey of representation lea rning, optimization strategies, and applications for omnidirectional vision,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:04:47.814687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T14:04:34.973634Z digest=sha256:17ca9617939ce20a308563a4bdfa3ac8e77160c190ed7e8c26c0f7be89ef05ca

Observation bfd57fd0-6e8f-4018-9ef5-61f5bf4fbbee · outbound

This paper cites Matterport3D: Learning from RGB-D data in indoor environm ents,.

OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using Blender Matterport3D: Learning from RGB-D data in indoor environm ents,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:04:47.636641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T14:04:35.052795Z digest=sha256:6fdf281ad733b3315fdcad8acb5fd7124daa08e601a391c3f8f04d8659b5525a

Observation e8734161-73b5-4bba-92ce-0b375af4a44a · outbound

This paper cites Joint 2D-3D-Semantic Data for Indoor Scene Understanding.

OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using Blender Joint 2D-3D-Semantic Data for Indoor Scene Understanding

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T14:04:35.145998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:04:35.145998Z digest=sha256:20de87cc65e8c6f91a2fec86b4aa4c15a01c6b7779b87aabbb3a5a078d20220c

Observation f5e40083-5f9f-46a1-9acf-54b5ca27d15a · outbound

This paper cites Real-time o mnidirectional roaming in large scale indoor scenes,.

OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using Blender Real-time o mnidirectional roaming in large scale indoor scenes,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:04:47.454720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T14:04:35.246695Z digest=sha256:a2f2bca0155bf85b6b28257a7a9eb3dd7e8867d13de738855f2433deb5a2d142

Observation cd9ba7b5-7216-45d5-aa2c-1672e81180f9 · outbound

This paper cites PICCOLO: Point clo ud-centric omnidirectional localization,.

OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using Blender PICCOLO: Point clo ud-centric omnidirectional localization,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:04:47.284056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T14:04:35.343025Z digest=sha256:455ee40a84c04c2e81ff78bdd115abe6334dffb9d8829d721d7acecb67540637

Observation 00ed1260-202d-49c6-8c61-0429d9a7df9e · outbound

This paper cites Zillow indoor dataset: Annotated floor plans with 360◦ panoramas and 3D room layouts,.

OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using Blender Zillow indoor dataset: Annotated floor plans with 360◦ panoramas and 3D room layouts,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:04:47.125605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T14:04:35.461474Z digest=sha256:18eed21ec28435210372bb6cd515e526529fbe1b2db35c2317c117ee1eaaeea2

Observation cdfda300-fab0-44c2-bdfb-52b4bb4dc12b · outbound

This paper cites OmniPh otos: Casual 360◦ VR photography,.

OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using Blender OmniPh otos: Casual 360◦ VR photography,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:04:46.965551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T14:04:35.535725Z digest=sha256:cd4b4180c3c66b1cc64218ecfa549e61bf53ba6cbe433ff12560779b5ace63e9

Observation a31c7639-01a9-44fd-a46c-dc70543a1288 · outbound

This paper cites Om nidepth: Dense depth estimation for indoors spherical panoramas,.

OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using Blender Om nidepth: Dense depth estimation for indoors spherical panoramas,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:04:46.861111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T14:04:35.607218Z digest=sha256:cf0da7a2b9abf0789830200a1ad18d07c39336389500ebb8ca576b4a598d1acf

Observation 360714ff-c238-4597-9688-8d59d7b78a0b · outbound

This paper cites Balanced spherical grid for egocentric view synthesis,.

OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using Blender Balanced spherical grid for egocentric view synthesis,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:04:46.711807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T14:04:35.677869Z digest=sha256:c55b263e7e7b67aff795bebaf88574b8d3d765d8040e1faf0e4dfd862b27fdf8

Observation 358641d9-b78d-4606-97d2-d56a30b5208f · outbound

This paper cites 360VO: Visual odometry using a single 360 camera,.

OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using Blender 360VO: Visual odometry using a single 360 camera,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:04:46.565895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T14:04:35.811586Z digest=sha256:9f7f053ce5be2f2f738db11ed0cc5c737c925bf922908d90e1d5a300534e8ac2

Observation 4a3243d4-e34b-48ba-9553-8193acacff93 · outbound

This paper cites Self- supervised learning of depth and camera motion from 360◦ videos,.

OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using Blender Self- supervised learning of depth and camera motion from 360◦ videos,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:04:46.435714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T14:04:35.893405Z digest=sha256:6f52e907fe90af7b03b56bd6be59d83b8d2cd7daa4396590e5347974d56ffef8

Observation 7c86070f-d534-4232-a6d5-5a814f908dcf · outbound

This paper cites Semantic scene completion from a single depth image,.

OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using Blender Semantic scene completion from a single depth image,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:04:46.297811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T14:04:35.957204Z digest=sha256:3359d61467515b604051c6f10a91c8f135a6ef952938d4802575e21c9b762085

Observation bab22e6d-fc11-41c7-854e-06d7636c212c · outbound

This paper cites LE D2-Net: monocular 360deg layout estimation via differentiable depth rendering,.

OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using Blender LE D2-Net: monocular 360deg layout estimation via differentiable depth rendering,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:04:46.132331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T14:04:36.046518Z digest=sha256:aa20f0cfaafc8f0dbdcb2816957b6e67c132a5157424b59280eb12d8f86da38e

Observation 166d5e9c-72c8-46a1-af47-96ca5dca61aa · outbound

This paper cites Seg2Reg: djifferentiable 2D segmentation to 1D regressio n rendering for 360 room layout reconstruc- tion,.

OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using Blender Seg2Reg: djifferentiable 2D segmentation to 1D regressio n rendering for 360 room layout reconstruc- tion,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:04:46.016959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T14:04:36.160471Z digest=sha256:659a1391bc60699e1c2539694a5730c947ccd04030a9c96f38461a16360ee72b

Observation 8178680d-51c7-46f4-a417-4b1153af91ae · outbound

This paper cites 360MonoDepth: H igh-resolution 360◦ monocular depth esti- mation,.

OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using Blender 360MonoDepth: H igh-resolution 360◦ monocular depth esti- mation,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:04:45.875721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T14:04:36.264648Z digest=sha256:c571d6d919827cea209bbcebb8185d8fcb8c30bfd5ff18c6ac3db31870dec77b

Observation d0e60cf0-6f4f-4b8b-9c4b-36142c3c2cc9 · outbound

This paper cites PanoNormal: monocul ar indoor 360◦ surface normal estimation,.

OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using Blender PanoNormal: monocul ar indoor 360◦ surface normal estimation,

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T14:04:36.336956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:04:36.336956Z digest=sha256:93bbd1bf9f4046b89a3b31928d381490a085caaf677b56957790d9175647b286

Observation 4ca7d690-4e7b-4498-893c-d4ccbaebecb5 · outbound

This paper cites NeRF: Representing scenes as neural radiance fields for view synthesis,.

OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using Blender NeRF: Representing scenes as neural radiance fields for view synthesis,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:04:45.713855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T14:04:36.441655Z digest=sha256:a45dcbd9d0c4d413c06a967dd677fb3006bb8db88ad82e8cf0027b1204d3ed46

Observation b4b39616-b2ff-4cfd-aa18-8ce0cf3ab8e5 · outbound

This paper cites 3D Gaussian splatting for real-time radiance field rendering,.

OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using Blender 3D Gaussian splatting for real-time radiance field rendering,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:04:45.560970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T14:04:36.514185Z digest=sha256:7c818082344fcddb40fed0aec80fcc0cac6693b6f58a3ebe8c0255d1b309fac1

Observation 031fffe0-d39a-4c10-b3a5-f4aadabd3c63 · outbound

This paper cites Egocentric scene reconstruction from an omnidirectional video,.

OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using Blender Egocentric scene reconstruction from an omnidirectional video,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:04:45.431465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T14:04:36.623482Z digest=sha256:992b4ecc50dfec3c0362d3b988c46b6dfa9523457ebad129b46121fdf736e4ac

Observation 0e02625a-c0cf-4183-9e43-c99c8833c33c · outbound

This paper cites O mniSDF: Scene reconstruction using omnidirectional signed distance functions and adaptive binoctrees,.

OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using Blender O mniSDF: Scene reconstruction using omnidirectional signed distance functions and adaptive binoctrees,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:04:45.260413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T14:04:36.690797Z digest=sha256:d69de90652906ab675f3dee5873d9ac0b55c202e2640990cc4a2ccc9dbf06491

Observation 2016f06b-d43d-48ed-ad27-249ea1f69334 · outbound

This paper cites 360MVSNet: Deep multi-view stereo network with 360◦ images for indoor scene reconstruction,.

OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using Blender 360MVSNet: Deep multi-view stereo network with 360◦ images for indoor scene reconstruction,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:04:45.112855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T14:04:36.748888Z digest=sha256:17e8e2e866e308c7f63bf8df5cc6a72fe3411360197d9107a354b63687f18619

Observation 4bccb057-f8f8-47f7-aa5b-4b1d15c42fe2 · outbound

This paper cites 360Recon: An Accurate Reconstruction Method Based on Depth Fusion from 360 Images.

OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using Blender 360Recon: An Accurate Reconstruction Method Based on Depth Fusion from 360 Images

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:04:39.788072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T14:04:36.856307Z digest=sha256:d7121af8be444cf3d64ba8733d588b55092b3f903b063b8bd2ff5e420745a068

Observation 0cebf545-6b33-482a-b49a-e8091d17d21f · outbound

This paper cites Structure-from-motio n revisited,.

OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using Blender Structure-from-motio n revisited,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:04:44.928902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T14:04:36.930009Z digest=sha256:949fc3e844a148da3382feeb5d19c6fe0112e2b2b3a567d3ffc913f7ccab0361

Observation 1da44a40-bb38-4a66-b317-bdec7a967f37 · outbound

This paper cites Pixelwise view selection for unstructured multi-view stereo,.

OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using Blender Pixelwise view selection for unstructured multi-view stereo,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:04:44.754369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T14:04:37.019668Z digest=sha256:baba4e6fea8868fe39890f2bf70236c969b2ddb81749399dcfbceb81601808e0

Observation 85859030-44a3-49a6-b351-3c58faa9220f · outbound

This paper cites SDFStudio: A unified framework for surface reconstruction ,.

OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using Blender SDFStudio: A unified framework for surface reconstruction ,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:04:44.615263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T14:04:37.156989Z digest=sha256:6124f597617b779b080b01fa3b367ae0fb3c015a3f06c5dfc29736186c59b784

Observation 1535d365-df43-4433-bb47-fa8e63d7d920 · outbound

This paper cites 2D Gaussi an splatting for geometrically accurate radiance fields,.

OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using Blender 2D Gaussi an splatting for geometrically accurate radiance fields,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:04:44.470010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T14:04:37.260657Z digest=sha256:acdcd58caee52c78dcd828b6086d8670f1ab7221da5caf741e99468605d902a0

Observation 1991cb6b-cb7f-4b07-93bf-81c63594ad9a · outbound

This paper cites Mip-NeRF 360: Unbounded anti-aliased neural radiance fields,.

OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using Blender Mip-NeRF 360: Unbounded anti-aliased neural radiance fields,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:04:44.292880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T14:04:37.332377Z digest=sha256:a7e07288946f2b91447891760929c83a0b922ae597b2e51b58c315e3cca2a989

Observation ae3a3bb8-772c-4f58-920a-e18781865233 · outbound

This paper cites HoGS: Unified Near and Far Object Reconstruction via Homogeneous Gaussian Splatting.

OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using Blender HoGS: Unified Near and Far Object Reconstruction via Homogeneous Gaussian Splatting

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:04:39.595247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T14:04:37.408031Z digest=sha256:0753b110d98f4aa3e120082cfe3dd613c85cb39140c10007ef747c0324cbf03d

Observation 3a6464a5-b05d-44e1-9f49-bbaaea189069 · outbound

This paper cites Mip- Splatting: Alias-free 3D Gaussian splatting,.

OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using Blender Mip- Splatting: Alias-free 3D Gaussian splatting,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:04:44.091671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T14:04:37.527793Z digest=sha256:541f93abc283b36934eed5ceb205e332808d86ee84c930375aaed45bb4c6248c

Observation 4804e959-db03-48a5-ba01-4c5598058439 · outbound

This paper cites 360-GS: Layout-guided Panoramic Gaussian Splatting For Indoor Roaming.

OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using Blender 360-GS: Layout-guided Panoramic Gaussian Splatting For Indoor Roaming

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T14:04:37.624794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:04:37.624794Z digest=sha256:bc9f09a6fbccc502ceb5b5e6fd33b96036040a7285569e585c68dd27bbae0c47

Observation 663c2e31-faa0-49b8-b49d-2554bf6778c7 · outbound

This paper cites ODGS: 3D scene rec onstruction from omnidirectional images with 3D Gaussian splattings,.

OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using Blender ODGS: 3D scene rec onstruction from omnidirectional images with 3D Gaussian splattings,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:04:43.878567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T14:04:37.723759Z digest=sha256:d7bb734a985b49f24dcafcadea463f96082019f5aa758eca4e01fd7680d721a5

Observation 0a43654f-d1a8-4022-8fac-bed2bca8a5f7 · outbound

This paper cites On the error analysis of 3D Gaussian splatting and an optimal projection strategy,.

OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using Blender On the error analysis of 3D Gaussian splatting and an optimal projection strategy,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:04:43.643730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T14:04:37.800053Z digest=sha256:a02460d4b564315d8099510256e3f19762bea6e573b8fc3d5d9c66d0e9b1c3dc

Observation 90e88854-f3c4-40e7-a43b-e3fa2367d6f6 · outbound

This paper cites OmniGS: Omnidir ectional Gaussian splatting for fast radiance field reconstruction using omnidirectional images,.

OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using Blender OmniGS: Omnidir ectional Gaussian splatting for fast radiance field reconstruction using omnidirectional images,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:04:43.458674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T14:04:37.892863Z digest=sha256:c93f6381066cc59ba9a88cb803a9b2c5310effce8e1daa88a2e2aa801b9b4ebb

Observation ff0701b8-aa25-4497-895c-ac8ae7550f59 · outbound

This paper cites Casual indoor HDR radiance capture from omnidirectional images,.

OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using Blender Casual indoor HDR radiance capture from omnidirectional images,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:04:43.296609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T14:04:38.010985Z digest=sha256:28c80faf1f55104eded663b4a4ae9e07a681a588f130b3a7661f7d9430ba94c7

Observation 9fb12ccd-dbaa-4bab-a1fc-cf4f982f233b · outbound

This paper cites PGSR: Planar-based Gaussian splatting for efficient and high-fide lity surface reconstruction,.

OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using Blender PGSR: Planar-based Gaussian splatting for efficient and high-fide lity surface reconstruction,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:04:43.097030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T14:04:38.112758Z digest=sha256:628ec2eab42fd716505cc0e94a172b2baeaa370fec4e2ea248b09d65f52b9949

Observation 737c2df8-1689-4360-a62d-586487388468 · outbound

This paper cites MVSNet: Depth inference for unstructured multi-view stereo,.

OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using Blender MVSNet: Depth inference for unstructured multi-view stereo,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:04:42.949925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T14:04:38.193310Z digest=sha256:9d968e45d54cd75e2ccc19deda28b02f00bb82c6fd4963e156c881e0c8d05263

Observation 727d8fee-c727-4653-974c-b5b400700783 · outbound

This paper cites Multiview neural surface reconstruction by disentangling geometry and appearance,.

OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using Blender Multiview neural surface reconstruction by disentangling geometry and appearance,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:04:42.686919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T14:04:38.332226Z digest=sha256:e63d97b9f9ba914106f00aabe48fe6724dc895d34b2db6ea2c0ddc4f6bd3f93e

Observation 1e43048b-f908-47de-96b9-fb0217ea2bf5 · outbound

This paper cites NeuS: Learning neural implicit surfaces by volume rendering for multi-view reconstruction,.

OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using Blender NeuS: Learning neural implicit surfaces by volume rendering for multi-view reconstruction,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:04:42.490150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T14:04:38.451828Z digest=sha256:d86102b0b145d070dd8ff9a7c8e0fa7d702c7a58c8af1af4ae7b502413d85b83

Observation 89d92530-6b23-4faf-a5e0-9f84d0f7547e · outbound

This paper cites V olume render ing of neural implicit surfaces,.

OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using Blender V olume render ing of neural implicit surfaces,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:04:42.147903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T14:04:38.525749Z digest=sha256:e5d59087066d49f61b4443b3014397579b84c4a70531e1b43285c0d33823066b

Observation 7dc8a7f7-a426-453a-ab4a-18c7659a7959 · outbound

This paper cites Neuralangelo: high- fjidelity neural surface reconstruction,.

OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using Blender Neuralangelo: high- fjidelity neural surface reconstruction,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:04:41.786667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T14:04:38.609567Z digest=sha256:93d6e7f675ade5311134b297aa172e1672d3d2c5b55ef59b11ed677ad68e28c6

Observation 58f2b9d0-fe46-47e6-ab62-900b00eb525e · outbound

This paper cites Marching cubes: A high re solution 3D surface construction algorithm,.

OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using Blender Marching cubes: A high re solution 3D surface construction algorithm,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:04:41.537839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T14:04:38.706650Z digest=sha256:b83499c6ff60345e1c34fd8b503bd3936a9eef35c98e0a4e19e2b8189360230a

Observation 4d107533-b707-443c-87d0-5d9c13c59b9f · outbound

This paper cites ImageNe t classification with deep convolutional neural networks,.

OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using Blender ImageNe t classification with deep convolutional neural networks,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:04:41.289936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T14:04:38.846806Z digest=sha256:5f50a8b9379d7eaab20fcbce8fd7807e32ce97f6ea145149e3141d7e4383430d

Observation fabc3530-d633-4d01-a3a2-613d4fb2abf2 · outbound

This paper cites Very deep convolutional neural netw ork based image classification using small training sample size,.

OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using Blender Very deep convolutional neural netw ork based image classification using small training sample size,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:04:40.981834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T14:04:38.924578Z digest=sha256:00056c4b68f85dd6e5d0b92cb68b1c7303ee07eb4edcbcee4fe651af3cc5e2e8

Observation 83065e01-cfac-4242-8228-6b952240dcb0 · outbound

This paper cites an unresolved cited work.

OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using Blender Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:04:40.765982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T14:04:39.016057Z digest=sha256:0d15647864c487901f4bff544eefc43df90481a3abe41dcec5c3c47a70d2aadd

Observation 1b8e9615-c731-4e6e-8321-9a6472729927 · outbound

This paper cites To in- crease the number of reconstructed point clouds, the hyperp arameters should be adjusted for optimization.

OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using Blender To in- crease the number of reconstructed point clouds, the hyperp arameters should be adjusted for optimization

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:04:40.558433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T14:04:39.140445Z digest=sha256:8edabb32db698bc68087bc1979569e672587e0fa133f470b8c26e3e62f091ab5

Observation 92ebb985-693a-4445-89b2-15568c707287 · outbound

This paper cites projection_type.

OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using Blender projection_type

Reference 46

Resolution
malformed identifier
raw_fallback, observed 2026-08-07T14:04:40.398834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T14:04:39.231631Z digest=sha256:984f25d3e507bae3111bf7c586267ba329a1e912fc353c7f3e0299a74d1be89c

Observation 93ca222c-66ff-4001-aef9-6117e6674b40 · outbound

This paper cites Average (all).

OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using Blender Average (all)

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:04:40.158154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T14:04:39.330354Z digest=sha256:85cf0d23a0c0a1e3b306c983f01c994b839bb314aa25fe8ae2df59557bc9bfb4

Pith citing papers

Observation 7d231394-9a5e-4da1-8313-6e8e4572c7ae · inbound

CM-EVS: Sparse Panoramic RGB-D-Pose Data for Complete Scene Coverage cites this paper.

CM-EVS: Sparse Panoramic RGB-D-Pose Data for Complete Scene Coverage OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using Blender

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-20T19:28:54.999258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-20T19:26:32.448656Z digest=sha256:744709b900c86b1fd9f74da60add8b48a9fc5d34128552779c2366dae5d961f2